Binary particle swarm optimisation for feature selection: A filter based approach

2012 IEEE Congress on Evolutionary Computation, CEC 2012

Volumn , Issue , 2012, Pages

  Cervante, Liam ^a   Xue, Bing ^a   Zhang, Mengjie ^a   Shang, Lin ^b  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

^b NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY PARTICLE SWARM; CLASSIFICATION ACCURACY; DATA SETS; FEATURE SELECTION METHODS; FEATURE SUBSET; FILTER-BASED; FITNESS FUNCTIONS; MUTUAL INFORMATIONS; RELEVANCE AND REDUNDANCIES; TEST SETS;

CLASSIFICATION (OF INFORMATION); DATA PROCESSING; DECISION TREES; INFORMATION THEORY; PARTICLE SWARM OPTIMIZATION (PSO); REDUNDANCY; SET THEORY;

ALGORITHMS;

EID: 84866876345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2012.6256452     Document Type: Conference Paper

References (26)

1. M. Dash and H. Liu, "Feature selection for classification," Intelligent Data Analysis, vol. 1, no. 4, pp. 131-156, 1997.
2. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," The Journal of Machine Learning Research, vol. 3, pp. 1157-1182, 2003.
3. R. Kohavi and G. H. John, "Wrappers for feature subset selection," Artificial Intelligence, vol. 97, pp. 273-324, 1997.
4. P. Estevez, M. Tesmer, C. Perez, and J. Zurada, "Normalized mutual information feature selection," IEEE Transactions on Neural Networks, vol. 20, no. 2, pp. 189-201, 2009.
5. L. Yu and H. Liu, "Efficient feature selection via analysis of relevance and redundancy," Journal of Machine Learning Research, vol. 5, pp. 1205-1224, 2004.
6. H. Yuan, S. S. Tseng, and W. Gangshan, "A two-phase feature selection method using both filter and wrapper," in IEEE International Conference on Systems, Man, and Cybernetics (SMC'99), vol. 2, 1999, pp. 132-136.
7. N. Kwak and C. H. Choi, "Input feature selection for classification problems," IEEE Transactions on Neural Networks, vol. 13, no. 1, pp. 143-159, 2002.
8. A. Whitney, "A direct method of nonparametric measurement selection," IEEE Transactions on Computers, vol. C-20, no. 9, pp. 1100-1103, 1971.
9. T. Marill and D. Green, "On the effectiveness of receptors in recognition systems," IEEE Transactions on Information Theory, vol. 9, no. 1, pp. 11-17, 1963.
10. A. Unler and A. Murat, "A discrete particle swarm optimization method for feature selection in binary classification problems," European Journal of Operational Research, vol. 206, no. 3, pp. 528-539, 2010.
11. C. S. Yang, L. Y. Chuang, C. H. Ke, and C. H. Yang, "Boolean binary particle swarm optimization for feature selection," in IEEE Congress on Evolutionary Computation (CEC'08), 2008, pp. 2093-2098.
12. K. Neshatian and M. Zhang, "Dimensionality reduction in face detection: A genetic programming approach," in 24th International Conference Image and Vision Computing New Zealand (IVCNZ'09), 2009, pp. 391-396.
13. J. Kennedy and W. Spears, "Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator," in IEEE Congress on Evolutionary Computation (CEC'98), 1998, pp. 78-83.
14. B. Chakraborty, "Feature subset selection by particle swarm optimization with fuzzy fitness function," in 3rd International Conference on Intelligent System and Knowledge Engineering (ISKE'08), vol. 1, 2008, pp. 1038-1042.
15. X. Wang, J. Yang, X. Teng, W. Xia, and R. Jensen, "Feature selection based on rough sets and particle swarm optimization," Pattern Recognition Letters, vol. 28, no. 4, pp. 459-471, 2007.
16. J. Kennedy and R. Eberhart, "Particle swarm optimization," in IEEE International Conference on Neural Networks, vol. 4, 1995, pp. 1942-1948.
17. J. Kennedy, R. C. Eberhart, and Y. Shi, Swarm Intelligence, ser. Evolutionary Computation Series. San Francisco: Morgan Kaufman, 2001.
18. J. Kennedy and R. Eberhart, "A discrete binary version of the particle swarm algorithm," in IEEE International Conference on Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., vol. 5, 1997, pp. 4104-4108.
19. C. Shannon and W. Weaver, The Mathematical Theory of Communication. Urbana:The University of Illinois Press, 1949.
20. K. Kira and L. A. Rendell, "A practical approach to feature selection," Assorted Conferences and Workshops, pp. 249-256, 1992.
21. I. Kononenko, "Estimating attributes: Analysis and extensions of relief," Lecture Notes in Computer Science, vol. 784, p. 171, 1994.
22. C. Cardie, "Using decision trees to improve case-based learning," in In Proceedings of the Tenth International Conference on Machine Learning (ICML), 1993, pp. 25-32.
23. B. Chakraborty, "Genetic algorithm with fuzzy fitness function for feature selection," in IEEE International Symposium on Industrial Electronics (ISIE'02), vol. 1, 2002, pp. 315-319.
24. H. Ming, "A rough set based hybrid method to feature selection," in International Symposium on Knowledge Acquisition and Modeling (KAM '08), 2008, pp. 585-588.
25. A. Frank and A. Asuncion, "UCI machine learning repository," 2010.
26. F. Van Den Bergh, "An analysis of particle swarm optimizers," Ph.D. dissertation, Pretoria, South Africa, 2002.